Downloads · 30 days
8
12% of all-time downloads
roberta-base_fact_updates
Daivik1911/roberta-base_fact_updates
roberta-base_fact_updates is a text classification model from Daivik1911. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
All-time downloads
65
Public
Parameters
125M
17.5 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors499 MB · 99%
At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- roberta
- Access
- Public
- Created
- Mar 15, 2024
- Updated
- Mar 18, 2024
- SHA
- 603a631d
Try a prompt
Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
roberta-base_fact_updates
This model is a fine-tuned version of roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2890
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 15
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.2718 | 1.0 | 734 | 0.2895 |
| 0.2817 | 2.0 | 1468 | 0.3295 |
| 0.3141 | 3.0 | 2202 | 0.2891 |
| 0.3464 | 4.0 | 2936 | 0.2919 |
| 0.2108 | 5.0 | 3670 | 0.2966 |
| 0.2811 | 6.0 | 4404 | 0.3113 |
| 0.4315 | 7.0 | 5138 | 0.2903 |
| 0.3629 | 8.0 | 5872 | 0.2890 |
| 0.2729 | 9.0 | 6606 | 0.2900 |
| 0.2273 | 10.0 | 7340 | 0.2891 |
| 0.2127 | 11.0 | 8074 | 0.2890 |
| 0.2929 | 12.0 | 8808 | 0.2895 |
| 0.3608 | 13.0 | 9542 | 0.2890 |
| 0.2816 | 14.0 | 10276 | 0.2890 |
| 0.3008 | 15.0 | 11010 | 0.2890 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1
- Datasets 2.18.0
- Tokenizers 0.15.2
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- License
- mit
- Created
- Mar 15, 2024
- Updated
- Mar 18, 2024